Quality and safety of artificial intelligence generated health information
Michael J. Sorich, Bradley D. Menz, Ashley M. Hopkins
Abstract
Generative artificial intelligence (AI) is advancing rapidly and has the potential to greatly improve many aspects of society, including health. The risks of potentially harmful consequences, however, necessitate effective oversight and mitigation measures. This article highlights distinct forms of health related risks of generative AI, with corresponding options for mitigating risk.
Topics & Concepts
Quality (philosophy)Risk analysis (engineering)Generative grammarComputer scienceData scienceArtificial intelligenceMedicineEpistemologyPhilosophyArtificial Intelligence in Healthcare and EducationEthics in Clinical Research